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Staff Data Engineer - Fintech Engineering (m/f/n) @ InPost

PLOnsiteFull-timeJob reference REF2566Z
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About this role

The mission

Design and own the feature-store architecture that credit decisioning will depend on.

Schema, point-in-time correctness and freshness SLAs, designed to be reliable and cheap to run.Reference implementations. You set the pipeline patterns, modelling standards and lineage approach that others copy.The hardest problems first. You lead the highest-complexity, highest-risk data initiatives, including cross-domain feature reuse across regulated entities.Agent-first delivery. You design the agent loop (context, tools, evals, guardrails) so agentic engineering is reliable, observable and cost-controlled.Data that earns. Your architecture directly shapes the quality and speed of money-making decisions.You will own the architecture and inner workings of agentic harnesses and loop/graph agent workflows bound to the feature store: feature engineering, point-in-time validation, drift and data-quality observability. You set the reference patterns others reuse.

You are:

Someone who loves data and loves building systems around it.Hands-on first. You design and you build, with AI as a daily tool.Experienced with 8+ years in data engineering at scale, and 5+ years in Spark/Databricks or equivalent lakehouse architecture.Expert in SQL, data modelling, and Python (7+ years), plus performance and cost engineeringExperienced with agentic coding tools and loop engineering (3+ years): context and tool design, evals, guardrailsCurious about advanced agentic harness, loop, and graph engineering, with deep knowledge of LLM behavior and trade-offsA Staff-level engineer who sets standards through influence, not authorityStrong in data-quality, observability, lineage and GDPR-aware governance.A technical leader without authority, who sets standards and mentors through influence.Fluent in English (B2+).Bonus points for:

Feature-store or ML data serving in productionPayments, fintech or lending data experienceStreaming (Kafka/Structured Streaming) and CDCDBT governance experience. CCD2/DORA awareness Why this one:

Architectural authority from day one. You set the standard.Greenfield, high stakes. Your design decisions last for years.A modern stack and a lean, AI-native team.Hybrid, ideally one day a week in the Warsaw or Kraków office.We offer a B2B Contract

Skills

Information TechnologyMid-Senior LevelLogistics And Supply Chain

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